Welcome to the Data Visualization repository! This project showcases various plotting and data visualization techniques using Matplotlib and Seaborn, two powerful libraries in Python. It includes a Jupyter Notebook that demonstrates how to create effective visualizations and interpret data through different types of plots.
• Jupyter Notebook: data_visualization_notebook.ipynb
- Provides detailed explanations and examples of plotting techniques using Matplotlib, Seaborn, and Plotly.
- Covers basic to advanced visualizations, from line plots and pie charts to heatmaps and interactive dashboards.
- Illustrates how to customize plot features for efficient, professional-looking data visualization.
• Data Files: tips.csv, glue.csv, flights.csv, penguins.csv
- Sample datasets from Seaborn for demonstrating various plotting techniques.
• Interactive Dashboards
- Basic interactive dashboards for exploring the visualizations in an interactive manner.